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Generative Adversarial Networks (GANs) have gained considerable attention in image steganography mainly because these networks can encode and decode secret information using digital images efficiently. Leveraging the framework of GANs, researchers have devised novel techniques to embed and extract secret data seamlessly using images, offering a robust solution for secure communication and data concealment. This chapter discusses various GAN architectures proposed by researchers that have been used in image steganography.

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Generative Adversarial Networks in Image Steganography

  • 章节

  • 发表日期：

    2025年

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  • M. Arif Wani,
  • Bisma Sultan,
  • Sarwat Ali,
  • Mukhtar Ahmad Sofi

摘要

Generative Adversarial Networks (GANs) have gained considerable attention in image steganography mainly because these networks can encode and decode secret information using digital images efficiently. Leveraging the framework of GANs, researchers have devised novel techniques to embed and extract secret data seamlessly using images, offering a robust solution for secure communication and data concealment. This chapter discusses various GAN architectures proposed by researchers that have been used in image steganography.